OBJECTIVE: To analyze the plain chest radiographic and CT findings of superficial endobronchial lung cancer and to correlate these with the findings of histopathology. MATERIALS AND METHODS: This study involved 19 consecutive patients with pathologically proven lung cancer confined to the bronchial wall. Chest radiographs and CT scans were reviewed for the presence of parenchymal abnormalities, endobronchial nodules, bronchial obstruction, and bronchial wall thickening and stenosis. The CT and histopathologic findings were compared. RESULTS: Sixteen of the 19 patients had abnormal chest radiographic findings, while in 15 (79%), CT revealed bronchial abnormalities: an endobronchial nodule in seven, bronchial obstruction in five, and bronchial wall thickening and stenosis in three. Histopathologically, the lesions appeared as endobronchial nodules in 11 patients, irregular thickening of the bronchial wall in six, elevated mucosa in one, and carcinoma in situ in one. CONCLUSION: CT helps detect superficial endobronchial lung cancer in 79% of these patients, though there is some disagreement between the CT findings and the pathologic pattern of bronchial lesions. Although nonspecific, findings of bronchial obstruction or bronchial wall thickening and stenosis should not be overlooked, and if clinically necessary, bronchoscopy should be performed.
Carcinoma in Situ/pathology/radiography ; Carcinoma, Squamous Cell/pathology/*radiography ; Human ; Lung/pathology ; Lung Neoplasms/pathology/*radiography ; Male ; Middle Age ; Neoplasm Invasiveness ; *Tomography, X-Ray Computed

OBJECTIVE: To investigate the effects of different types of mammography equipment on screening outcomes by comparing the performance of film-screen mammography (FSM), computed radiography mammography (CRM), and digital mammography (DM).MATERIALS AND METHODS: We retrospectively enrolled 128756 sets of mammograms from 10 hospitals participating in the Alliance for Breast Cancer Screening in Korea between 2005 and 2010. We compared the diagnostic accuracy of the types of mammography equipment by analyzing the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI); performance indicators, including recall rate, cancer detection rate (CDR), positive predictive value₁ (PPV₁), sensitivity, specificity, and interval cancer rate (ICR); and the types of breast cancer pathology.RESULTS: The AUCs were 0.898 (95% CI, 0.878–0.919) in DM, 0.860 (0.815–0.905) in FSM, and 0.866 (0.828–0.903) in CRM (p = 0.150). DM showed better performance than FSM and CRM in terms of the recall rate (14.8 vs. 24.8 and 19.8%), CDR (3.4 vs. 2.2 and 2.1 per 1000 examinations), PPV₁ (2.3 vs. 0.9 and 1.1%), and specificity (85.5 vs. 75.3 and 80.3%) (p < 0.001) but not in terms of sensitivity (86.3 vs. 87.4 and 86.3%) and ICR (0.6 vs. 0.4 and 0.4). The proportions of carcinoma in situ (CIS) were 27.5%, 13.6%, and 11.8% for DM, CRM, and FSM, respectively (p = 0.003).CONCLUSION: In comparison to FSM and CRM, DM showed better performance in terms of the recall rate, CDR, PPV₁, and specificity, although the AUCs were similar, and more CISs were detected using DM. The application of DM may help to improve the quality of mammography screenings. However, the overdiagnosis issue of CIS using DM should be evaluated.
Area Under Curve ; Breast Neoplasms ; Breast ; Carcinoma in Situ ; Korea ; Mammography ; Mass Screening ; Medical Overuse ; Pathology ; Radiography ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity

OBJECTIVETo explore the differences between the angioarchitecture, hemodynamics, ultrastructure of neovasculr endothelial cells, and vascular distribution in different perfusion regions in benign and malignant breast tumors.

METHODS30 cases of breast carcinoma (33 lesions) and 30 cases of breast fibroadenoma (34 lesions) were examined by contrast enhanced microvascular imaging (MVI), and perfusion indexes were collected both inside and at the margin of each focus according to time-intensity quantitative analysis, including peak intensity (PI), area under the curve (AUC), time to peak (TTP) and wash-out time (WOT). The ultrastructure of neovascular endothelial cells was examined by transmission electron microscopy. The expression of CD34, VEGF, Flk-1/KDR in both two groups were detected by immuhistochemistry.

RESULTSSignificant differences were found between the two groups characterized with filling defect, vascular distortion, dilatation and uneven enhancement. Most of the curves of malignant group (87.9%, 29/33) ascended rapidly and dropped slowly while those of the benign group (79.4%, 27/34) ascended slowly and dropped rapidly. The AUC and WOT of malignant tumor group were significantly higher than those of benign group, while the PI and TTP had statistically no significant difference. In the malignant tumor group, PI, AUC and WOT collected from the margin of foci were significantly different from those collected inside the foci, however, there was no significant difference in the benign group. The margin of foci was characterized with dilated and distorted vessels, and the center of the foci was occupied by narrow or occluded blood vessels, sometimes with contracted endothelial cells and pericytes. Abundant microvascular areas located at the margin of foci. The ultrastructure of endothelial cells in the newly formed blood vessels of malignant group showed strong ability to divide, which was different from normal endothelium cells.

CONCLUSIONThe perfusion pattern, mode of time-intensity curve, mean perfusion parameter and variation of regional perfusion parameters provide a valuable diagnostic basis in distinguishing benign and malignant breast tumors. The density, morphology, distribution, structure and function of newly formed microvessels in tumor foci are also crucial factors when tumors are assessed by imaging examination.

Antigens, CD34 ; metabolism ; Area Under Curve ; Breast Neoplasms ; blood supply ; diagnostic imaging ; pathology ; ultrastructure ; Carcinoma in Situ ; blood supply ; diagnostic imaging ; pathology ; ultrastructure ; Carcinoma, Ductal, Breast ; blood supply ; diagnostic imaging ; pathology ; ultrastructure ; Contrast Media ; Female ; Fibroadenoma ; blood supply ; diagnostic imaging ; pathology ; ultrastructure ; Hemodynamics ; Humans ; Microscopy, Electron, Transmission ; Microvessels ; diagnostic imaging ; pathology ; ultrastructure ; Neovascularization, Pathologic ; diagnostic imaging ; pathology ; Radiography